Mohammed M. Alawad

According to our database, Mohammed M. Alawad authored at least 16 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Limitations of Transformers on Clinical Text Classification.

Shang Gao, Mohammed M. Alawad, M. Todd Young, John Gounley, Noah Schaefferkoetter, Hong-Jun Yoon, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Georgia D. Tourassi

IEEE J. Biomed. Health Informatics, 2021

Privacy-Preserving Deep Learning NLP Models for Cancer Registries.

Mohammed M. Alawad, Hong-Jun Yoon, Shang Gao, Brent J. Mumphrey, Xiao-Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, Isaac Hands, David Rust, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

IEEE Trans. Emerg. Top. Comput., 2021

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.

Mohammed M. Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

CoRR, 2021

Deep active learning for classifying cancer pathology reports.

Kevin De Angeli, Shang Gao, Mohammed M. Alawad, Hong-Jun Yoon, Noah Schaefferkoetter, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

BMC Bioinform., 2021

2020

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.

Hong-Jun Yoon, Hilda B. Klasky, John P. Gounley, Mohammed M. Alawad, Shang Gao, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, James Blair Christian, Georgia D. Tourassi

J. Biomed. Informatics, 2020

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.

Mohammed M. Alawad, Shang Gao, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Lynne Penberthy, Brent J. Mumphrey, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi

J. Am. Medical Informatics Assoc., 2020

2019

Classifying cancer pathology reports with hierarchical self-attention networks.

Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob D. Hinkle, Noah Schaefferkoetter, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Lynne Penberthy, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi, Arvind Ramanathan

Artif. Intell. Medicine, 2019

Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing.

Mohammed M. Alawad, Georgia D. Tourassi

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution.

Mohammed M. Alawad, Shang Gao, Xiao-Cheng Wu, Eric B. Durbin, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.

Hong-Jun Yoon, John Gounley, Shang Gao, Mohammed M. Alawad, Arvind Ramanathan, Georgia D. Tourassi

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Semi-Supervised Information Extraction for Cancer Pathology Reports.

John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.

Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter, Jacob D. Hinkle, Hong-Jun Yoon, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, Isaac Hands, David Rust, Georgia D. Tourassi

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

FPGA Hardware Implementation of Smart Home Autonomous System Based on Deep Learning.

Basman M. Hasan Alhafidh, Amar I. Daood, Mohammed M. Alawad, William H. Allen

Proceedings of the Internet of Things - ICIOT 2018, 2018

Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction.

Mohammed M. Alawad, S. M. Shamimul Hasan, James Blair Christian, Georgia D. Tourassi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports.

Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

Energy efficient stochastic-based deep spiking neural networks for sparse datasets.

Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017